OutSystems has unveiled an 'Agentic System Platform' that supports the deployment and operational management of enterprise AI agents. This move is aimed at addressing corporate demands for security, governance, and cost control as the use of generative AI expands beyond the automation of individual tasks to core business processes.

On the 4th, at the '2026 ONE Conference' held in Amsterdam, Netherlands, OutSystems announced a new platform based on the OutSystems Enterprise Context Graph, expanded collaboration with AWS, and key customer cases. This announcement targeted the model dependency, regulatory compliance, and operational management issues that companies face during the AI adoption process.

The new platform focuses on connecting internal enterprise data, applications, and workflows to enable AI agents to operate within real-world business contexts. Developers can create agents using A2A and MCP-based tools, and apply performance evaluation, control, and governance functions during the operational phase.

In the enterprise AI market, operational structures that are not dependent on specific LLMs or cloud environments are becoming increasingly important. This is because relying on a single AI platform can weaken technology choice and cost control in a situation where model performance and costs are changing rapidly. OutSystems plans to support runtime separation and self-hosting through an open architecture and distributed architecture, and to respond to the demands for digital sovereignty.

Expanding cooperation with AWS is also a key pillar of this announcement. OutSystems integrates AWS’s agentic development environment Kiro, legacy modernization service AWS Transform, and Amazon Bedrock into its platform. This enables companies to progressively modernize existing legacy systems, such as COBOL and Lotus Notes, and select appropriate AI models based on their business objectives.

OutSystems presented agency system engineering, enterprise orchestration, and industry-specific solutions as application areas for its platform. In the financial sector, it highlighted a banking solution that supports the entire loan process as its first industry-specific example, which is scheduled to be available in early Q3.

Woodson Martin, CEO of OutSystems, emphasized that companies must maintain control over their own data and business logic even when adopting AI. Through customer cases such as the Dutch Red Cross, Butler Plus, and AllianceScope Manufacturing, the company showcased instances where AI agents are utilized in core business operations within regulatory and operational standards, going beyond simple auxiliary tools.